output
20152025
most citedGeneralization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

48 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

7 papers

cs.CY2025★ 12 cited

DiversityOne: A Multi-Country Smartphone Sensor Dataset for Everyday Life Behavior Modeling

Matteo Busso, Andrea Bontempelli, Leonardo Javier Malcotti +23

Understanding everyday life behavior of young adults through personal devices, e.g., smartphones and smartwatches, is key for various applications, from enhancing the user experien…

cs.HC2023★ 25 cited

Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK

Karim Assi, Lakmal Meegahapola, William Droz +19

Smartphones enable understanding human behavior with activity recognition to support people's daily lives. Prior studies focused on using inertial sensors to detect simple activiti…

cs.HC2022★ 48 cited

Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

Lakmal Meegahapola, William Droz, Peter Kun +24

Mood inference with mobile sensing data has been studied in ubicomp literature over the last decade. This inference enables context-aware and personalized user experiences in gener…

cs.CY2018★ 2 cited

Design Challenges for Reconnecting in Later Life: A Qualitative Study

Francisco Ibarra, Grzegorz Kowalik, Marcos Baez +4

Friendships and social interactions are renown contributors to wellbeing. As such, keeping a healthy amount of relationships becomes very important as people age and the size of th…

cs.SI2016★ 4 cited

What makes people bond?: A study on social interactions and common life points on Facebook

Emanuel Sanchiz, Francisco Ibarra, Svetlana Nikitina +2

In this paper we aim at understanding if and how, by analysing people's profile and historical data (such as data available on Facebook profiles and interactions, or collected expl…

cs.DC2016★ 8 cited

Dynamic Environments for Virtual Machine Placement considering Elasticity and Overbooking

Jammily Ortigoza, Fabio Lopez-Pires, Benjamın Baran

Cloud computing datacenters provide millions of virtual machines in actual cloud markets. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems i…

cs.DC2015★ 5 cited

Workload Trace Generation for Dynamic Environments in Cloud Computing

Jammily Ortigoza, Fabio López-Pires, Benjamín Barán

Cloud computing datacenters provide millions of virtual machines in actual cloud markets. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems i…